Session recap

Thanks to everyone who joined us on October 1, in the IACS Seminar Room and online. Arshad Mehmood and David Carlson showed how to use SeaWulf and NVwulf from a web browser: the OnDemand dashboard, files and jobs, and how to pick the right resources. Then came live demos of RStudio Server on SeaWulf and a Protein Prediction (AlphaFold) session on NVwulf.

Arshad Mehmood and David Carlson standing beside the opening slide, HPC in your browser: An Introduction to Open OnDemand, October 1, 2026
Arshad Mehmood (left) and David Carlson with the opening slide, "HPC in your browser: An Introduction to Open OnDemand."
The IACS Seminar Room during the session, with attendees at laptops and the SeaWulf OnDemand dashboard on the projector and wall screen
The IACS Seminar Room, with the SeaWulf OnDemand dashboard on both screens.
Arshad Mehmood at the podium beside the projected SeaWulf OnDemand dashboard and its pinned apps
Arshad Mehmood walks through the SeaWulf dashboard and pinned apps.
The NVwulf OnDemand portal on screen showing a newly created Protein Prediction session, with attendees following along
Launching a Protein Prediction (AlphaFold) session on NVwulf.
David Carlson presenting RStudio Server running in the browser on SeaWulf to the room
David Carlson demonstrates RStudio Server on SeaWulf.

Want to try it yourself? Start with the Open OnDemand overview, then browse the apps on SeaWulf and NVwulf.

Session slides (PDF, 1.9 MB)

A note on data: SeaWulf and NVwulf, including the llama.cpp chat app, are not approved for protected health information (PHI). For projects that use PHI, see ClinWulf.

About the session

WhenThursday, October 1, 2026
3:00 to 4:00 PM
WhereIACS Seminar Room
Stony Brook University
FormatHybrid
In person or online

Why attend

Open OnDemand gives you SeaWulf and NVwulf through a web browser, so you can do real HPC work without the command line. In one hour you'll get hands-on practice launching research apps, managing your files and jobs, and choosing the right computing resources.

What you'll learn

  • Launch interactive apps like JupyterLab, RStudio and MATLAB
  • Upload, organize and manage your files and jobs
  • Choose the right resources (CPUs, GPUs, memory) for your work

Apps you can use

Built for AI and ML, data analysis, computational chemistry, molecular modeling, structural biology, cryo-EM, visualization and biomedical imaging.

  • JupyterLab
  • RStudio
  • MATLAB
  • Gaussian / GaussView
  • ChimeraX
  • CryoSPARC
  • Napari
  • ParaView
  • vLLM
  • llama.cpp

Open to everyone doing research: undergraduates, graduate students, postdocs, faculty and staff in any field. No experience with Linux, HPC or Open OnDemand needed. Pizza and refreshments provided.

Presented by the Institute for Advanced Computational Science (IACS) and DoIT Research Computing, Informatics & Innovation. Supported by a mini-grant from the Office of the President, Stony Brook University.

Add to my calendarThursday, October 1

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